In Decision Tree or Random Forest, each tree has a collection of decision nodes (in which each node has a threshold value) and a class labels (or regression values).
I know that threshold values are used for comparison with a corresponding feature value. As far as I know, the comparison is performed either "<", ">" or "==" predicate. Anything else for the functions taking threshold value and a feature value as inputs??